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Spatial-temporal characteristics of PM2.5 in China: A city-level perspective analysis

机译：spatial-temporal characteristics of pm2.5 in China: a city-level perspective analysis

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Haze pollution has become a severe environmental problem in the daily life of the people in China. PM2.5 makes a significant contribution to poor air quality. The spatio-temporal features of China's PM2.5 concentrations should be investigated. This paper, based on observed data from 945 newly located monitoring sites in 2014 and industrial working population data obtained from International Standard Industrial Classification (ISIC), reveals the spatio-temporal variations of PM2.5 concentrations in China and the correlations among different industries. We tested the spatial autocorrelation of PM2.5 concentrations in the cities of China with the spatial autocorrelation model. A correlation coefficient to examine the correlativity of PM2.5 concentrations and 23 characteristic variables for 190 cities in China in 2014, from which the most important ones were chosen, and then a regression model was built to further reveal the social and economic factors affecting PM2.5 concentrations. Results: (1) The Hu Huanyong Line and the Yangtze River were the E-W divide and S-N divide between high and low values of China. (2) The PM2.5 concentrations shows great seasonal variation, which is high in autumn and winter but low in spring and summer. The monthly average shows a U-shaped pattern, and daily average presents a periodic and impulse-shaped change. (3) PM2.5 concentrations had a distinct characteristic of spatial agglomeration. The North China Plain was the predominant region of agglomeration, and the southeastern coastal area had stable good air quality.
机译：霾污染已经成为中国人民日常生活中的严重环境问题。 PM2.5对不良空气质量做出了重大贡献。应研究中国PM2.5浓度的时空特征。本文基于2014年新设的945个监测点的观测数据以及从国际标准行业分类（ISIC）获得的工业工作人口数据，揭示了中国PM2.5浓度的时空变化以及不同行业之间的相关性。我们使用空间自相关模型测试了中国城市PM2.5浓度的空间自相关。用相关系数检验2014年中国190个城市的PM2.5浓度和23个特征变量的相关性，从中选择最重要的变量，然后建立回归模型以进一步揭示影响PM2的社会和经济因素.5浓度。结果：（1）沪环线和长江是中国高低值的E-W分界线和S-N分界线。 （2）PM2.5浓度表现出很大的季节变化，秋季和冬季较高，而春季和夏季较低。月平均值显示为U形，而日平均值则显示为周期性和脉冲状变化。 （3）PM2.5浓度具有明显的空间聚集特征。华北平原是集聚的主要区域，东南沿海地区空气质量稳定。

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